Stephan Züchner

186 total papers · 5.3k total citations
68 papers, 1.9k citations indexed

About

Stephan Züchner is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Stephan Züchner has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 37 papers in Molecular Biology and 16 papers in Neurology. Recurrent topics in Stephan Züchner's work include Hereditary Neurological Disorders (25 papers), Genetic Neurodegenerative Diseases (21 papers) and Neurological diseases and metabolism (16 papers). Stephan Züchner is often cited by papers focused on Hereditary Neurological Disorders (25 papers), Genetic Neurodegenerative Diseases (21 papers) and Neurological diseases and metabolism (16 papers). Stephan Züchner collaborates with scholars based in United States, United Kingdom and Germany. Stephan Züchner's co-authors include Juan I. Young, Gaofeng Wang, Jeffery M. Vance, Alleene V. Strickland, Vincent Timmerman, Adriana Rebelo, Rebecca Schüle, Eden R. Martin, Warren D. Taylor and Kousik Krishnan and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Stephan Züchner

65 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephan Züchner 852 847 397 376 282 68 1.9k
Samir Belal 1.1k 1.3× 1.0k 1.2× 367 0.9× 416 1.1× 299 1.1× 61 1.9k
Carmen Espinós 1.0k 1.2× 821 1.0× 424 1.1× 245 0.7× 212 0.8× 95 1.9k
M. Ben Hamida 1.2k 1.4× 1.3k 1.5× 493 1.2× 681 1.8× 209 0.7× 43 2.4k
Kevin L. Seburn 1.3k 1.5× 664 0.8× 225 0.6× 287 0.8× 302 1.1× 48 2.2k
Carlos Vicario‐Abejón 1.4k 1.6× 1.4k 1.7× 336 0.8× 221 0.6× 215 0.8× 69 3.2k
Maurizio De Fusco 1.3k 1.5× 771 0.9× 457 1.2× 354 0.9× 141 0.5× 32 2.8k
Qian Pan 1.4k 1.7× 835 1.0× 470 1.2× 702 1.9× 273 1.0× 139 2.7k
Ali Benomar 1.5k 1.7× 1.7k 2.0× 345 0.9× 708 1.9× 179 0.6× 70 2.3k
Jun Goto 1.6k 1.8× 1.3k 1.6× 348 0.9× 804 2.1× 243 0.9× 96 2.4k
Koji Abe 1.2k 1.5× 618 0.7× 522 1.3× 389 1.0× 233 0.8× 85 2.6k

Countries citing papers authored by Stephan Züchner

Since Specialization
Citations

This map shows the geographic impact of Stephan Züchner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephan Züchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Züchner more than expected).

Fields of papers citing papers by Stephan Züchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan Züchner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephan Züchner. The network helps show where Stephan Züchner may publish in the future.

Co-authorship network of co-authors of Stephan Züchner

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Züchner. A scholar is included among the top collaborators of Stephan Züchner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephan Züchner. Stephan Züchner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026